Senior Backend Engineer

Payflows · Remote jobRemotesenior

In short

▸Desarrollar y mejorar servicios backend para una plataforma financiera automatizada con agentes inteligentes.
▸Trabajar con Python, FastAPI y PostgreSQL en un entorno de múltiples servicios, enfocado en fiabilidad y flujo seguro de tareas.
▸Destacar por construir herramientas que permitan a los agentes hacer operaciones financieras de forma segura y determinista.

No se requiere inglés, pero se valora el uso del idioma en documentación técnica.

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What they ask for

✓Experiencia sólida con Python en entornos backend productivos.
✓Conocimiento práctico de FastAPI y Pydantic.
✓Capacidad para refactoring y mejora de sistemas existentes con compromiso por calidad.
✓Experiencia en diseño de APIs y workflows confiables, especialmente en contextos de automatización.
✓Actitud proactiva, autonomía y enfoque en la operación real del producto.
✓Capacidad de colaborar estrechamente con equipos de producto, frontend y operaciones.

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PythonFastAPIPydanticPostgreSQLAWSRustServerlessMulti-service backendTest coverageObservability

Who should you write to at Payflows?

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About Payflows At Payflows, we build software that helps large companies manage and automate their payment workflows. It’s not the flashiest part of a business, but it’s one of the most critical: invoices, approvals, payments, and controls. When these things slow down, the whole company feels it. But our ambition goes further than just building a better workflow tool. We believe the future of finance operations is not faster clicking: it’s no clicking at all 🫳 🎤 Finance teams shouldn’t spend their days moving data from one screen to another. Software should do the operational work, and humans should focus on reviewing, approving, and making the decisions that matter. That’s the direction we’re building toward: an agent-driven finance platform , where intelligent agents handle the repetitive tasks, and users stay in control. We started in 2022 with a small team and a rough first version of the product. Three years later, we’re working with major companies across France, the UK, and the US while choosing to keep our team small and human-sized. We moved fast, shipped a lot, and not everything was built in a perfect way. But it helped us learn quickly, sign real customers, and prove that the problem we’re solving truly matters. In 2024, investors trusted us with a $25M Series A. That gives us the chance to keep growing while also strengthening our foundations and building the system that will power this agent-driven future. Today, we’re about 35 people from many different countries, and we’re looking for a few amazing humans to join the next chapter. 🤗 🚀 What you’ll actually do You’ll help build a product that real finance teams rely on every day. For us, engineering is not just about clean code, it’s about reliability, clarity, and trust, especially when money and automation are involved. In a typical week, you might: Design and implement new services for a product feature. Refactor an early service to make it more robust. Investigate a performance or production issue. Work with product and frontend to shape a new feature. Review code and help teammates improve. Build backend tools that our AI agents use to perform real finance operations. Design safe, deterministic workflows where agents propose actions and humans review them. Your time will be split between building new features and improving what already exists . Both matter. You won’t just build endpoints. You’ll help shape the execution layer that our agents rely on: the APIs, data models, and workflows that let them act safely in production. You’ll work closely with product, frontend, and customer-facing teams. We expect engineers to take ownership of parts of the system and help make them more reliable over time. 💻 Our current tech reality Our stack evolves based on our challenges, but we care more about good design than trendy tools 🙏 Python is our core language. It helps us move fast, keep the code readable, and fits naturally with our AI-driven approach. A growing part of the system is built around agents that use our backend as a set of reliable, deterministic tools. Core language: Python Backend: FastAPI + Pydantic Data: PostgreSQL Infra: AWS, serverless when it makes sense Performance: some Rust for critical paths Architecture: multi-service backend, simple enough to reason about Some parts of the system are clean and well-tested. Others were built quickly and need love. That’s the phase we’re in. Over the next year, we’ll focus on: Turning core workflows into reliable tools for our agents Simplifying services Improving tests and observability Making performance more predictable Cleaning up early code We know we’re not perfect, but we care a lot about improving step by step. ✨ Who’s going to thrive with us You’ll probably feel comfortable here if: You like building products people actually use. You are autonomous and take ownership of what you ship. You take initiative and lead by example. You’re curious and enjoy figuring things out.

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